Intelligent Mouse-Based Object Group Selection

  • Hoda Dehmeshki
  • Wolfgang Stuerzlinger
Conference paper

DOI: 10.1007/978-3-540-85412-8_4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5166)
Cite this paper as:
Dehmeshki H., Stuerzlinger W. (2008) Intelligent Mouse-Based Object Group Selection. In: Butz A., Fisher B., Krüger A., Olivier P., Christie M. (eds) Smart Graphics. SG 2008. Lecture Notes in Computer Science, vol 5166. Springer, Berlin, Heidelberg

Abstract

Modern graphical user interfaces support direct manipulation of objects and object groups. Current object group selection techniques such as lasso and rectangle selection can be time-consuming and error-prone. This paper presents a new approach to group selection that exploits the way human perception naturally groups objects, also known as Gestalt grouping. Based on known results from perception research, we present a novel method to group objects via models of the Gestalt principles of proximity and (curvi-)linearity. Then, we introduce several new mouse-based selection techniques that exploit these Gestalt groups. The results of a user study show that our new technique outperforms lasso and rectangle selection for object groups with an implicit structure, such as (curvi-)linear arrangements or clusters.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Hoda Dehmeshki
    • 1
  • Wolfgang Stuerzlinger
    • 1
  1. 1.Department of Computer Science and EngineeringYork UniversityTorontoCanada

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